I will build a custom rag ai chatbot with langchain


Über diesen Service
build RAG systems and AI chatbots that answer from your real data not generic responses. From customer support bots to internal knowledge assistants, I deliver production-ready solutions, deployed end-to-end.
What I Offer:
- Custom RAG & Knowledge Chatbots
- PDF & Document Intelligence
- Vector Database Setup (Pinecone, Chroma, pgvector)
- FastAPI Backend & Cloud Deployment
- LangChain, LangGraph & MCP Integration
Tech Stack: FastAPI, Python, LangChain/LangGraph, OpenAI/Claude/Gemini APIs, vector databases, Docker
Why Choose Me:
- Shipped production AI systems a real-time streaming research pipeline and a full app on the Play Store
- Clean, documented code
- Honest scoping, not upselling
Have a specific use case? Message me before ordering.
Lerne Rehman kennen
FullStack Developer
- AusPakistan
- Mitglied seitAug. 2026
- ⌀ Antwortzeit1 Stunde
Sprachen
Englisch
Mein Portfolio
FAQ
Which package should I choose?
Basic if you just want to test accuracy on your own documents. Standard if you need it live on your website with persistent storage. Premium if you need agent actions, an admin dashboard, or full deployment.
What file formats can it read?
PDFs by default. Other formats like Word docs, spreadsheets, or website content can be added — message me before ordering to confirm your use case.
Is my data kept private?
Yes. Your documents are used only to build your system and aren't shared, reused, or stored beyond what delivery requires.
Do I get the source code?
Yes — every package includes full, commented source code and documentation, so you're not locked into me for future changes.
Can I choose which AI model it uses (GPT, Claude, Gemini)?
Yes, the backend is model-agnostic — I can build it with whichever provider fits your budget or existing setup.
